Bark (BARK) EPS (Diluted) (2020 - 2026)
Bark (BARK) reported EPS (Diluted) of $0.08 for fiscal Q1 2027 (quarter ended Jun 30, 2026), compared with -$0.83 a year earlier.
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Analysis
Bark (BARK) EPS (Diluted) (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Bark's EPS (Diluted) came in at -$3.56; for FY2026 (ended Mar 31, 2026), it came in at -$4.57.
- By fiscal year, EPS (Diluted) came in at -$3.77 in FY2025, -$4.18 in FY2024, -$6.96 in FY2023 and -$8.75 in FY2022.
- The fiscal Q1 2027 figure ranks as the highest quarterly EPS (Diluted) since fiscal Q2 2022.
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at -$1.48 (Q4 2026), -$1.00 (Q3 2026) and -$1.25 (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 132.43 Bn | 107.80 Bn | - | - |
| 2 | Mondelez International | 73.80 Bn | 67.12 Bn | 3.99 Bn | 1.20 |
| 3 | Hershey | 31.86 Bn | 28.11 Bn | 1.26 Bn | 1.78 |
| 4 | Kraft Heinz | 26.96 Bn | 13.49 Bn | 2.03 Bn | -4.60 |
| 5 | General Mills | 17.20 Bn | 14.85 Bn | 1.49 Bn | 0.74 |
| 6 | J M Smucker | 12.70 Bn | 12.49 Bn | 979.60 Mn | 3.03 |
| 7 | Mccormick | 12.49 Bn | 12.36 Bn | 778.20 Mn | 0.56 |
| 8 | Hormel Foods | 10.97 Bn | 7.66 Bn | 471.52 Mn | 0.11 |
| 9 | Chewy | 7.31 Bn | 4.59 Bn | 1.01 Bn | 0.20 |
| 10 | Bark | 84.17 Mn | -36.31 Mn | 57.33 Mn | 0.08 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.08 |
| Mar 31, 2026 | -1.48 |
| Dec 31, 2025 | -1.00 |
| Sep 30, 2025 | -1.25 |
| Jun 30, 2025 | -0.83 |
| Mar 31, 2025 | -0.70 |
| Dec 31, 2024 | -1.31 |
| Sep 30, 2024 | -0.60 |
| Jun 30, 2024 | -1.14 |
| Mar 31, 2024 | -0.55 |
| Dec 31, 2023 | -1.15 |
| Sep 30, 2023 | -1.17 |
| Jun 30, 2023 | -1.31 |
| Mar 31, 2023 | -1.61 |
| Dec 31, 2022 | -2.39 |
| Sep 30, 2022 | -1.21 |
| Jun 30, 2022 | -1.76 |
| Mar 31, 2022 | -4.70 |
| Dec 31, 2021 | -1.53 |
| Sep 30, 2021 | 0.73 |
API Access
Bark EPS (Diluted) API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=eps-diluted&ticker=BARK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "ticker": "BARK", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=eps-diluted&ticker=BARK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();